Instructions to use Aleksandar/bert-srb-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aleksandar/bert-srb-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Aleksandar/bert-srb-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Aleksandar/bert-srb-ner") model = AutoModelForTokenClassification.from_pretrained("Aleksandar/bert-srb-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52a7b58f97cf1b69546b8b04b64bc757b7ac0bce1aba4930be87c1c0134eba96
- Size of remote file:
- 2.67 kB
- SHA256:
- c159f436f728689563a5600d9aaa0888ea1263b539721c8b26016f1a3c2912a2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.